Bapatla Engineering College

Mysore, India

Bapatla Engineering College

Mysore, India
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Surendra Kumar P.,Bapatla Engineering College | Chandra Mohan B.,Bapatla Engineering College
2016 IEEE Annual India Conference, INDICON 2016 | Year: 2016

The scope of this research paper is to present a new configuration of the dual frequency microstrip patch antenna for wireless local area network WLAN (5.15-5.35) GHz and Worldwide Interoperability for Microwave Access WiMAX (3.4-3.9) GHz applications. The proposed dual-frequency rectangular microstrip antenna with the vertex-fed pentagonal slot is resonates at 3.5 GHz and 5.15 GHz. The antenna performance parameters at 3.5 GHz are the magnitude of the reflection coefficient, VSWR, input impedance, gain and radiation efficiency are found to be 19.12 dB, 1.25, 40.15Ω, 5.6 dBi and 62.42% respectively. While at 5.15 GHz they are found to be 25.28 dB, 1.11, 49.55Ω, 4.55dBi and 63.61% respectively. The proposed antenna achieved an average gain of 5.08 dBi. The stable radiation pattern is observed in both operating frequencies. The performance of proposed antenna is compared with the existing dual-band designs available in the literature. © 2016 IEEE.


Prathibha G.,Acharya Nagarjuna University | Chandra Mohan B.,Bapatla Engineering College
Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization | Year: 2017

Breast cancer is one of the leading cause of death among women worldwide. Many CAD systems have been proposed for the early detection of cancer causing masses. In this paper, classification of mammograms from digital database for screening mammography (DDSM) is done using bandelet and orthogonal ripplet type II transforms. In this study, two subsets of mammograms are used from the DDSM database. The first subset contains 360 regions of interest (ROI) of mammograms obtained from howtek scanner and the second subset contains 300 ROIs of mammograms obtained from both lumisys and howtek scanner. Bandelet and orthogonal ripplet type II transform coefficients are extracted for these two subsets. First-order texture features are calculated for the ROIs using the coefficients of bandelet and orthogonal ripplet type II transform. Based on the first-order texture features, the ROIs are classified. The area under the curve for orthogonal ripplet type II transform is (Formula presented.) and bandelet transform is (Formula presented.) obtained using 360 mammograms of howtek scanner. Further the area under the curve for orthogonal ripplet type II transform is (Formula presented.) and bandelet transform is (Formula presented.) obtained using 300 mammograms of howtek and lumisys scanner for classifying benign and malignant masses. The values of (Formula presented.) obtained are superior to the existing wavelet-based transforms like wavelet, ridgelet, curvelet, contourlet and bandelet. © 2017 Informa UK Limited, trading as Taylor & Francis Group


Ravindhranath K.,Koneru Lakshmaiah College of Engineering | Srinivasa Reddy B.,Bapatla Engineering College
Der Pharmacia Lettre | Year: 2015

The sorption properties of plant materials derived from Acasia nilotica Indica, Syzygium cumini and Osismum Sanctum have been explored for the removal of Methylene Blue using the simulated waste waters. The physicochemical parameters such as pH, time of equilibration and sorbent concentrations have been optimized for the maximum extraction of the dye. The bio-sorbents are found to be effective at pH 8 and 10. The optimum Sorbent dosage and equilibration time are found to be less for the ashes than with the raw powders. Fivefold excess of common anions ions, have not interfered with the extraction while Cations like Ca2+, Mg2+ and Cu2+ have shown some interference but Fe2+ and Zn2+ have synergistically maintained the maximum extraction of the dye. The methodologies developed are remarkably successfully when applied to the samples collected from dyeing industries.


Srinivasa Reddy B.,Bapatla Engineering College | Krishna Veni V.,Bapatla Engineering College | Ravindhranath K.,Bapatla Engineering College
Journal of Chemical and Pharmaceutical Research | Year: 2012

Leaves, stems and their ashes of Annona Squamosa, and Azdirachta Indica have been probed for their sorption abilities towards Methylene Blue using simulated waste waters. The physicochemical parameters such as pH, time of equilibration and sorbent concentrations are optimized for the maximum removal of Methylene Blue. These sorbents are found to be effective at pH 8. Sorbent dosage and time needed for the maximum removal of Methylene Blue are found to be less for the ashes than with the raw powders of the plant materials Methodologies have been developed for the extraction of good quantities of Methylene Blue dye from waste water samples. Fivefold excess of common anions ions, have not interfered the extraction while Cation like Ca2+, Mg2 and Cu2+ have shown some interference but Fe2+ and Zn2+ have synergistically maintained the maximum extraction of the dye. The procedures developed are successfully applied for the samples collected from dyeing industries.


Prasad N.S.,Bapatla Engineering College
International Review on Computers and Software | Year: 2014

The most widely used document representation model is the Vector Space Model. Higher dimensions and sparseness of the representation model leads to poor clustering performance, demanding more computational effort for clustering. Hence, dimension reduction techniques are used to find a feature subspace for document representation that could enhance clustering performance. This paper proposes a novel unsupervised filter method for feature selection. Feature selection methods represent documents using a subset of the original feature set that maximizes the separation among classes of documents in the collection. Filter methods analyze the intrinsic properties of the documents and they select highly-ranked features according to some criterion, quite different to clustering task. Unsupervised feature selection methods do not use class labels to guide the selection of features. The proposed method assigns a score to a term using its collection and document frequencies. Number of times and number of documents in which a term appears in a document collection are called respectively collection frequency and document frequency of the term. Empirical evaluations proved that the proposed method is not only effective in selecting features giving best clustering performance, but also less computationally complex, when compared to other unsupervised feature selection methods. © 2014 Praise Worthy Prize S.r.l. - All rights reserved.


Abdul Gafoor S.,Bapatla Engineering College
International Journal of Electrical Power and Energy Systems | Year: 2011

This paper deals with application of Wavelet Transform for detection of busbar faults and to discriminate them from external faults. The fault indexes of differential current and that of a source CT current are obtained over narrow moving windows based on their respective detail coefficients. The fault indexes of both current signals obtained are compared with their respective threshold values to detect the internal faults. The time shift of differential current detail coefficients compared to those of source current due to saturation of CT is used to discriminate the external faults from internal faults. The scheme is tested successfully for different types of external and internal faults. © 2011 Elsevier Ltd. All rights reserved.


Nancharaiah B.,NRI Institute of Technology | Chandra Mohan B.,Bapatla Engineering College
International Review on Computers and Software | Year: 2013

A mobile adhoc network (MANET) is a collection of wireless nodes without any central administrator. Because of the mobility of the network, a routing protocol is required to adopt the frequent changes in the network topology. A Quality of Service (QoS) protocol that supports real-time applications is adopted in MANETS to a feasible path that satisfies QoS constraints. The most important phase of the QoS routing protocol is route discovery phase, in which the heuristic search algorithm is required to search their route cache for the availability of routes to destination. With no recent research in this field, there is a need of optimization algorithm, such as Cuckoo Search Algorithm (CSA). In this work, we propose an approach that uses CSA to find the feasible paths in the route discovery of MANET using QoS protocol. The proposed algorithm is superior compared to an existing algorithm in which Ant Colony Optimization (ACO) with particle swarm optimization (PSO) is used. The proposed QoS routing protocol performs better compared to PSO hybrid with ACO algorithm in terms of throughput, packet delivery, end-to-end delay and efficiency. © 2013 Praise Worthy Prize S.r.l. - All rights reserved.


Nancharaiah B.,Andhra University | Chandra Mohan B.,Bapatla Engineering College
Computers and Electrical Engineering | Year: 2014

End-to-end delay, power consumption, and communication cost are some of the most important metrics in a mobile ad hoc network (MANET) when routing from a source to a destination. Recent approaches using the swarm intelligence (SI) technique proved that the local interaction of several simple agents to meet a global goal has a significant impact on MANET routing. In this work, a hybrid routing intelligent algorithm that has an ant colony optimisation (ACO) algorithm and particle swarm optimisation (PSO) is used to improve the various metrics in MANET routing. The ACO algorithm uses mobile agents as ants to identify the most feasible and best path in a network. Additionally, the ACO algorithm helps to locate paths between two nodes in a network and provides input to the PSO technique, which is a metaheuristic approach in SI. The PSO finds the best solution for a particle's position and velocity and minimises cost, power, and end-to-end delay. This hybrid routing intelligent algorithm has an improved performance when compared with the simple ACO algorithm in terms of delay, power consumption, and communication cost. © 2013 Elsevier Ltd. All rights reserved.


Sure P.,REVA Institute of Technology and Management | Bhuma C.M.,Bapatla Engineering College
International Journal of Electronics and Telecommunications | Year: 2014

Massive multi input multi output (MIMO) systems incorporate orthogonal frequency division multiplexing (OFDM) technology to render high data rate services for future wireless communication applications. The channel estimator (CE) employed by a reliable massive MIMO-OFDM system requires huge amount of overhead in the form of known and null data transmissions, hence limiting the system spectral efficiency (SE). Often, CE design is a tradeoff between SE and system reliability. In this paper, CE with three different overhead arrangements, namely time domain synchronous (TDS), comb type with cyclic prefix (CTCP), 2D grid type with cyclic prefix (GTCP) are investigated and a GTCP based CE is proposed which offers both high SE and improved system reliability. The proposed CE uses autocorrelation based denoising threshold for channel impulse response (CIR) estimation and does not require any knowledge of channel statistics (KCS). A 4 × 16 MIMO-OFDM system is simulated in a rayleigh fading channel environment with U-shaped doppler spectrum. From the bit error rate (BER) performance results inWiMax SUI-4, Advanced Television Technology Center (ATTC) and Brazil A channel environments, it is verified that the proposed CE with GTCP overhead and proposed denoising scheme, indeed improves both SE and system reliability. Hence it is suitable for application in all massive MIMO-OFDM systems. Copyright © 2011-2014 by Walter de Gruyter GmbH.


Nancharaiah B.,Jawaharlal Nehru Technological University Anantapur | Mohan Chandra B.,Bapatla Engineering College
Journal of Theoretical and Applied Information Technology | Year: 2013

In this work, a routing algorithm suitable for Mobile Adhoc Networks is proposed. MANETS are unstable nature when network mobility increases. Path selection process is a critical task in routing algorithms. The proposed work addresses this problem by employing Ant Colony Optimization and Fuzzy logic technques while developing the routing algorithm. The path information by ants will be given to FIS(Fuzzy Interference system) in order to compute the available path's score values, based on this score value from the FIS system the optimal paths will be selected. Hence, the routing problem can be solved more effectively by achieving high successful path delivery rate rather than the conventional routing algorithms. This technique is implemented and the results are compared to the existing algorithms. The performance of the proposed algorithm is assessed using distance, power consumption etc., © 2005 - 2013 JATIT & LLS. All rights reserved.

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